Bibliographic record
Abstract
Aspergillus fumigatus is a ubiquitously present fungal pathogen and household mold. While inhalation of A. fumigatus in immunocompetent individuals can be associated with increased host susceptibility to infections and allergy, the mechanisms underlying these effects are unknown. Interestingly, exposure to the fungal vaccine adjuvant ꞵ-glucan epigenetically reprograms hematopoietic stem and progenitor cells (HSPCs) and thereby enhances host resistance to infection, mediated through “improved” innate immune cells. We hypothesize that A. fumigatus exposure, in contrast to ꞵ-glucan, maladaptively reprograms HSPCs, resulting in an impaired innate immune response to subsequent stimuli. To investigate this hypothesis, we intranasally administered a subclinical dose of A. fumigatus allergen (AFA) or saline to C57BL/6 mice. On days 7 and 30 post exposure, quantitative alterations in lung immune cell and bone marrow HSPC populations were characterized by flow cytometry. To determine the functional implication of mold inhalation on myeloid cells, bone marrow-derived macrophages were generated from the bone marrow cells of saline- and AFA-exposed mice. Interestingly, we found long-term elevated levels of granulopoietic and myeloid cell populations in the lung after AFA exposure. However, the functional repertoire of macrophages remained unchanged, suggesting that quantitative, rather than qualitative changes mediate the long-term effects of AFA exposure. Mold exposure occurs in up to 40% of Canadian houses. Determining the pathophysiology of mold exposure in immunocompetent individuals will allow for development of targeted treatments to alleviate long-term detrimental consequences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".